Few-Shot Learning with Per-Sample Rich Supervision

Keyphrases

• Few Samples 100%
• Few-shot Learning 100%
• Sample Complexity 66%
• Online Algorithms 33%
• Ellipsoid 33%
• Computer Vision 33%
• Semantic Information 33%
• Meta-learning 33%
• Two-machine 33%
• Bird Classification 33%
• Rich Model 33%
• Feature Relevance 33%
• Margin Loss 33%
• Generalization Error Bound 33%
• Learning Complexity 33%
• Scene Classification 33%
• Non-stationary Data Streams 33%
• Sample Feature 33%
• Deep Network 33%

Computer Science

• Few-Shot Learning 100%
• on-line algorithm 33%
• Data Stream 33%
• Generalization Error 33%
• Machine Vision 33%

Mathematics

• Minimizes 100%
• Error Bound 100%